Senior Engineering Manager- AI Solutions
AledadeSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
$166,000 – $259,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Cloud, AI/ML, Enterprise SoftwareIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science, Engineering, or a related technical field, and have at least 8 years of experience in applied field engineering, with a focus on AI/ML solutions, and a minimum of 5 years in a leadership role. Strong experience in pre-sales, technical consulting, and customer engagement is required, alongside demonstrated expertise in designing and implementing AI/ML architectures and solutions.
Responsibilities
As a Senior Manager, you will build and lead a team of AFEs, coordinating cross-functional resources to achieve team goals and ensure customer success. You will partner with sales leadership to meet regional quota and consumption targets, provide guidance to revenue leaders on sales strategy, and represent the team’s needs to executive staff. This role involves working closely with prospects, channel partners, and the sales team to deliver winning solutions, collaborating with Product Marketing to build awareness and support pipeline building, and actively participating in sourcing and screening candidates while managing the interview process.
Skills
AI
ML
Pre-sales
Customer Engagement
Team Leadership
Sales Strategy
Product Demonstrations
Pilot/POC Execution
Data Architecture
Enterprise Data
Data Science
Snowflake
Data management and analytics platform
About Snowflake
Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.
Key Metrics
Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees